School psychologists regularly use decision rules to interpret student response to intervention in reading. Recent research suggests that the accuracy of those decision rules depends on the duration of progress monitoring, the number of observations available, and the amount of measurement error present. In this study, we extended existing…

Over the last two years, more data was created than in the entire previous history of humankind (IBM, 2016; Marr, 2016). Roughly 1.7 megabytes of new information will be created every second for every person on earth by the turn of the decade (Evans, 2011; Gantz & Reinsel, 2012; Marr, 2016). Data are created continuously and at a rate that is…

Statistical modeling is a core component of statistical thinking and has been identified by several countries as a curricular goal for secondary education. However, many secondary teachers have minimal preparation for teaching this topic. The goal of this research study is to learn about teachers' perceptions of the role statistical models play in…

Under both No Child Left Behind and the Every Student Succeeds Act, school leaders have been mandated to employ data-driven decision-making (DDDM) to diagnose student needs, implement targeted supports, and design school improvements. However, district administrators tasked with developing principals' DDDM capacity face a tough road. The authors…

"Big data" prompts a whole lexicon of terms--data flow; analytics; data mining; data science; smart you name it (cars, houses, cities, wearables, etc.); algorithms; learning analytics; predictive analytics; data aggregation; data dashboards; digital tracks; and big data brokers. New terms are being coined frequently. Are we paying…

Stealth assessment has been successfully embedded in educational games to measure students' learning in an unobtrusive and supportive way. This study explored the possibility of applying stealth assessment in a digital reading platform and sought to identify potential in-system indicators of students' digital learning outcomes. Utilizing the user…

This guidebook is designed for institutional leaders and student success teams who are ready to talk openly about the students they serve and who are eager to learn practical strategies from national experts and peer institutions. We cannot design an experience that meets our students where they are unless we holistically understand who they are.…

This practice guide is an updated version of "Supporting and Responding to Behavior: Evidence-based Classroom Strategies for Teachers" (see ED619696) that replaces, rather than supplements, the first version. This guide summarizes evidence-based, positive, and proactive practices that support and respond to students' social, emotional,…

The purpose of this study was to examine administrators' use of data, their perceptions of data, and what their expectations were in terms of teacher use of data. In conjunction with this examination will be a closer look at the new Professional Standards for Educational Leaders (PSEL) to determine the connections as well as the disconnections to…

School-based evaluations of interventions are increasingly common in education research. Ideally, the results of these evaluations are used to make evidence-based policy decisions for students. However, it is difficult to make generalizations from these evaluations because the types of schools included in the studies are typically not selected…

This paper is an examination of the current state of blended and online learning throughout the K-12 world in the United States. The analysis is predicated upon the potential of electronically-mediated learning (e-learning) to effectively prepare students for the demands of 21st century citizenship through the affordances of such learning…

Every U.S. state and the District of Columbia maintain a system to collect and store education data. These systems vary widely in their scope and sophistication -- and, by extension, in their ability to provide information that can guide decision-making. Most states have developed statewide longitudinal data systems, which establish formal…

For any labor market to function properly, clear information is needed to guide decision making; its absence invariably leads to less than optimal decisions and inefficiencies. While the broader labor market is riddled with imperfect information, the teacher labor market is particularly vulnerable--largely for the lack of the most basic…

Given the importance of data skills to the economy and the skills shortage within data science, educational policy makers have identified the importance of including technical and analytical data skills in the school curriculum. An equally important aim is to educate children and young people to become "data citizens" who are aware of…

The need for data-informed decisions is not limited to national policy, state systems, or senior leadership of postsecondary institutions. Decisions that impact the achievement of higher education missions are also made by students, faculty, frontline staff, and program administrators--all of who deserve data and information to support their…